A Review of Machine Learning Techniques over Big Data Case Studies
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 3
Abstract
In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Data Speed and Data Variation are three major parameters of Big Data. There are many challenges which have tuned up out of which Data Storage, Data Analysis and Data Management are the biggest ones. In order to deal with these challenges, Machine Learning, a subset of Artificial Intelligence provides various tools and techniques. This paper gives a detail about Big Data and Machine Learning. It also includes detailed literature review on various Big Data case studies which are solved by Machine Learning Techniques.
Authors and Affiliations
Dr. Yojna Arora
Keywords
Related Articles
- EP ID EP747829
- DOI 10.21276/ijircst.2020.8.3.34
- Views 27
- Downloads 0
Analyzing Target Customer Behavior Using Data Mining Techniques for E- Commerce Data
In this scenario Customer satisfaction is no longer satisfied with a simple listing of marketing contacts, but wants detailed information about Customers past purchase as well as prediction of future purchases. From long...
Exploratory Data Analysis of Global Power Plants using Various Machine Learning Algorithms
Nuclear plants' rewards and prices, etc and severe negative costs, are determined by their technology and the amount of electricity they create. Most nations, especially emerging ones where electricity output is expected...
A Review Paper on Operational Research
Any action poses ethical issues, questions about "good" and "right" ways of doing and living; or questions about beliefs and obligations to place them differently. Operational study (OR) has since its inception been inte...
IOT Based Video Surveillance System
In present scenario, the security concerns have grown tremendously. The security of restricted areas such as borders, is of utmost importance, in particular with the worldwide increase of military conflicts, illegal immi...
Workload Aware Partitioning and Load Balancing in Cloud Computing
Load Balancing plays a significant role in improving system performance. As cloud is composed of huge servers, load balancing techniques are used to balance load over multiple servers. Workload aware partitioning helps t...